Install AEN Compute (AEN 4.1.2)#

This is where projects are stored and run. Adding multiple AEN Compute Nodes allows you to scale-out horizontally to increase capacity. Projects can be created on individual Compute Nodes to spread the load.

These procedures assume that you have already performed the Installation preparation, Install AEN Server and Install AEN Gateway procedures.

Set variables and change permissions

In the script below, change <FQDN HOSTNAME OR IP ADDRESS> to the actual fully qualified domain hostname or IP address.

chmod a+x aen-*.sh                 # Set installer to be executable

NOTE: You must perform the entire procedure before closing the terminal to ensure the variable export persists.

Run AEN Compute installer

sudo -E ./ -w $AEN_SERVER
Logging to /tmp/wakari_compute.log
Checking server name
Initial clone of root environment...
Starting Wakari daemons...
installation finished.
Do you wish the installer to prepend the wakari-compute install location
to PATH in your /root/.bashrc ? [yes|no]
[no] >>> yes

Configure AEN Compute

Once installed, you need to configure the Compute Launcher on AEN Server.

  1. Point your browser at the AEN Server
  2. Login as the AEN_SRVC_ACCT user
  3. Click the Admin link in the top navbar
  4. Click Enterprise Resources in the left navbar
  5. Click Add Resource
  6. Select the correct (probably the only) Data Center to associate with this Compute Node
  7. Enter the fully-qualified domain name here.

Note: If the Compute Launcher is located on the same box as the Gateway, we recommend using http://localhost:5002 for the URL value.

  1. Add a Name and Description for the Compute Node
  2. Click the Add Resource button to save the changes.

Configure conda to use local on-site Anaconda repo

This integrates Anaconda Enterprise Notebooks to use a local on-site Anaconda Enterprise Repository server instead of

Edit the condarc on the Compute Node

The condarc is the conda runtime configuration file.

NOTE: If there are some channels below that you haven’t mirrored, you should remove them from the configuration.

NOTE: Change <your Anaconda Repository name> in the following script to the actual name of your repository before running.

    - defaults

    - anaconda-client
    - ipykernel

# Default channels are needed for when users override the system .condarc
# with ~/.condarc. This ensures that "defaults" map to your Anaconda Repository and not
    - http://<your Anaconda Repository name>:8080/conda/anaconda
    - http://<your Anaconda Repository name>:8080/conda/wakari
    - http://<your Anaconda Repository name>:8080/conda/r-channel

# Note:  You must add the "conda" subdirectory to the end
channel_alias: http://<your Anaconda Repository name>:8080/conda

Configure Anaconda client

Anaconda client lets users work with the Anaconda Repository from the command-line, to search for packages, login, upload packages, etc. The command below sets this value globally for all users.

Run the following command filling in the proper repository URL. This command requires sudo as the config file is written to the root file system: /etc/xdg/binstar/config.yaml. This sets the default config for anaconda-client for all users on compute node.

sudo /opt/wakari/anaconda/bin/anaconda config --set url http://<your Anaconda Repository>:8080/api -s

Repeat compute node install procedure with additional nodes as necessary

One Data Center can support numerous nodes. If you need to configure additional Compute Nodes, run through this procedure for each Compute Node you wish to stand up.


Congratulations! You’ve successfully installed and configured Anaconda Enterprise Notebooks.

Next steps

The following optional install procedures may need to be performed, depending on how you set up your Data Center:

Additional post-install information: